Recommendations a Top-N list.
Objects can be created by
predict with a recommender model and new data. Alternatively,
objects can be created from a realRatingMatrix using
getTopNLists.
ratings:Object of class "list".
Each element in the list represents a top-N recommendation
(an integer vector) with item IDs (column numbers in the rating
matrix). The items are ordered in each vector.
items:Object of class "list" or NULL.
If available, a list of the same structure as items with the
ratings.
itemLabels:Object of class "character"
n:Object of class "integer" specifying the
number of items in each recommendation.
Note that the actual number
on recommended items can be less depending on the data and the
used algorithm.
signature(from = "topNList", to = "list"): returns a
list with the items (labels) in the topNList.
signature(from = "topNList", to = "realRatingMatrix"): creates a rating Matrix with entries for the items in the topN list.
signature(from = "topNList", to = "dgTMatrix")
signature(from = "topNList", to = "dgCMatrix")
signature(from = "topNList", to = "ngCMatrix")
signature(from = "topNList", to = "matrix"): returns
a dense matrix with the ratings for the top-N items. All other items have a rating of NA.
signature(x = "topNList"): combine several topN lists into a single list. The lists need to be for the same data (i.e., items).
signature(x = "topNList"): returns only the best
n recommendations (second argument is n which defaults to 10).
The additional argument minRating can be used to remove all
entries with a rating below this value.
signature(x = "topNList"): for how many users
does this object contain a top-N list?
signature(x = "topNList"):
remove items from the top-N list which are known (have a rating)
for the user given as a ratingMatrix passed on as argument
known.
signature(x = "topNList"): in how many top-N
does each item occur?
signature(x = "topNList"): number of recommendations per user.
signature(object = "topNList")
evaluate,
getList,
realRatingMatrix